LEADS Fellowships are virtual, and you may participate from anywhere. LEADS Fellowship partners include: California Digital Library, University of California, Berkeley; Digital Curation Innovation Center (DCIC), University of Maryland’s iSchool; Digital Public Library of America (DPLA); Digital Research Services, University Penn Libraries; Free Library of Philadelphia; Historical Society of Pennsylvania; OCLC; and the Academy of Natural Sciences.

Support

LEADS Fellows will receive a $5000 stipend, plus additional financial support (approximately $3,000) for a 3-day Data Science Bootcamp at Drexel University (June 6-8), a visit to your NDP site during the summer, and conference travel during the 2019/2020 academic year to share project outcomes.

LEADS Fellows will:

Complete a virtual 10-week summer data science internship coordinated with a selected NDP site. (*Note: some LEADS Fellows may have more on-site interaction, depending on their location. The virtual model follows the NSF DataOne DataNet and RDA-Research Data Alliance model, both of which have been very successful.)

Develop a communication plan to connect with mentors on a regular basis.

Share the results of their summer experience with their home institution.

Application requirements

Applicants must be a doctoral student who has an interest in data science and library science applications. Their doctoral degree program must be in an institution that also hosts an ALA accredited master’s degree program.

Applicants must rank their top three choices for their data science summer internship placement on the form.

Application materials requested

One-page statement sharing your interest in the LEADS program and the selected NDP sites. Your one page statement must address why you seek to learn more about the intersection of library science and data science, and your career goals related to becoming an educator and researcher.

Brief statement of your training and experience with at least one of the following statistical packages: Excel, SPSS, R, MATLAB, or SAS (or identify another package).

Brief statement of your training and programming skill/experience with any of the following: HTML, XML, JSON, JavaScript, Python, R, Java, or Scala. (The LEADS program anticipates applicants with a range of skills.)

Will contribute to an ongoing project involving the automatic indexing of four digitized historical Encyclopedia Britannicas. This aspect of the project seeks to convert digitized historical controlled vocabularies into SKOS format.